A climate-themed tutorial on machine learning methods.
This module provides recommended readings and introductory tutorials on Python and Jupyter.
A few things to check prior to this workshop
ML for Climate data Ice Breaker
A basic Scikit-learn tutorial using Gaussian Processes to model CO2 levels on Mauna Loa
Pytorch tutorial for prediction of El Niño Southern Oscillation (ENSO) phase using sea surface temperature maps
Provide feedback to the workshop organizers
Outcome(s) assessed: You understand basic machine learning concepts
